Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 112570 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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112570 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.686, kappa: 0.2909, kb_relative_information_score: 182.3437, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6865, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 901.458, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 887.7056, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0829, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2577, scimark_benchmark: 1310.3396, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.979, kappa: 0.9534, kb_relative_information_score: 647.5078, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9795, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4687, scimark_benchmark: 934.2008, usercpu_time_millis: 2200, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9769, kappa: 0.9488, kb_relative_information_score: 795.0659, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3337, scimark_benchmark: 1363.0602, usercpu_time_millis: 10730, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 10320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7592, kappa: 0.4552, kb_relative_information_score: 347.7549, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7748, predictive_accuracy: 0.7745, prior_entropy: 0.9312, recall: 0.7745, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8657, kappa: 0.7003, kb_relative_information_score: 640.7573, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8662, predictive_accuracy: 0.8674, prior_entropy: 0.9312, recall: 0.8674, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7919, kappa: 0.5293, kb_relative_information_score: 534.4573, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8221, predictive_accuracy: 0.8079, prior_entropy: 0.9312, recall: 0.8079, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.6976, kappa: 0.3162, kb_relative_information_score: 167.1425, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7159, predictive_accuracy: 0.7234, prior_entropy: 0.9312, recall: 0.7234, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7172, kappa: 0.3603, kb_relative_information_score: 256.2906, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7267, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 295.2333, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.1522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7932, kappa: 0.5378, kb_relative_information_score: 440.5752, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7928, predictive_accuracy: 0.7965, prior_entropy: 0.9312, recall: 0.7965, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9906, kappa: 0.9792, kb_relative_information_score: 931.1554, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.1901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -0.1639, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9111, kappa: 0.8004, kb_relative_information_score: 480.6185, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.917, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9111, kappa: 0.8004, kb_relative_information_score: 480.6185, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.917, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 897.6882, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9843, kappa: 0.9652, kb_relative_information_score: 798.5042, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.7018, kappa: 0.3264, kb_relative_information_score: 198.9231, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7042, predictive_accuracy: 0.7161, prior_entropy: 0.9312, recall: 0.7161, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8643, kappa: 0.6939, kb_relative_information_score: 669.3988, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8749, predictive_accuracy: 0.8695, prior_entropy: 0.9312, recall: 0.8695, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, f_measure: 0.6702, kappa: 0.2552, kb_relative_information_score: 265.3303, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6697, predictive_accuracy: 0.6858, prior_entropy: 0.9312, recall: 0.6858, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5605, root_relative_squared_error: 1.1779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8774, kappa: 0.7231, kb_relative_information_score: 700.0739, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8941, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9454, kappa: 0.879, kb_relative_information_score: 803.9983, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9456, predictive_accuracy: 0.9457, prior_entropy: 0.9312, recall: 0.9457, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9446, kappa: 0.8776, kb_relative_information_score: 815.7529, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9446, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.6838, kappa: 0.2859, kb_relative_information_score: 179.1067, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6842, predictive_accuracy: 0.6983, prior_entropy: 0.9312, recall: 0.6983, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8129, kappa: 0.5813, kb_relative_information_score: 481.5722, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8133, predictive_accuracy: 0.8163, prior_entropy: 0.9312, recall: 0.8163, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.9471, kappa: 0.8821, kb_relative_information_score: 842.6882, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9489, predictive_accuracy: 0.9478, prior_entropy: 0.9312, recall: 0.9478, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9791, kappa: 0.9537, kb_relative_information_score: 903.9011, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9791, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.3037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9609, kappa: 0.9129, kb_relative_information_score: 521.5625, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9625, predictive_accuracy: 0.9614, prior_entropy: 0.9312, recall: 0.9614, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9459, kappa: 0.8789, kb_relative_information_score: 463.015, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.949, predictive_accuracy: 0.9468, prior_entropy: 0.9312, recall: 0.9468, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8262, kappa: 0.6095, kb_relative_information_score: 511.4725, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8294, predictive_accuracy: 0.8309, prior_entropy: 0.9312, recall: 0.8309, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.815, kappa: 0.5828, kb_relative_information_score: 487.325, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8234, predictive_accuracy: 0.8225, prior_entropy: 0.9312, recall: 0.8225, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8017, kappa: 0.5521, kb_relative_information_score: 430.6991, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8124, predictive_accuracy: 0.8111, prior_entropy: 0.9312, recall: 0.8111, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.7521, kappa: 0.4393, kb_relative_information_score: 314.607, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.763, predictive_accuracy: 0.7662, prior_entropy: 0.9312, recall: 0.7662, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7545, kappa: 0.4447, kb_relative_information_score: 316.7732, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7676, predictive_accuracy: 0.7693, prior_entropy: 0.9312, recall: 0.7693, relative_absolute_error: 0.6839, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.7241, kappa: 0.3758, kb_relative_information_score: 223.0139, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7424, predictive_accuracy: 0.7453, prior_entropy: 0.9312, recall: 0.7453, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.7236, kappa: 0.3745, kb_relative_information_score: 203.7597, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7363, predictive_accuracy: 0.7422, prior_entropy: 0.9312, recall: 0.7422, relative_absolute_error: 0.8071, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.6912, kappa: 0.3056, kb_relative_information_score: 133.421, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6893, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.6469, kappa: 0.2013, kb_relative_information_score: 120.449, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6529, predictive_accuracy: 0.6754, prior_entropy: 0.9312, recall: 0.6754, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.6859, kappa: 0.2967, kb_relative_information_score: 122.9416, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6832, predictive_accuracy: 0.6921, prior_entropy: 0.9312, recall: 0.6921, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 124.1717, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 124.1717, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 124.1717, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9716, kappa: 0.9369, kb_relative_information_score: 559.5447, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9723, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9769, kappa: 0.9488, kb_relative_information_score: 620.5862, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.415, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.4919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9727, kappa: 0.9394, kb_relative_information_score: 655.8336, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9731, predictive_accuracy: 0.9729, prior_entropy: 0.9312, recall: 0.9729, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9737, kappa: 0.9417, kb_relative_information_score: 668.7411, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9743, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9737, kappa: 0.9417, kb_relative_information_score: 668.7411, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9743, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9737, kappa: 0.9417, kb_relative_information_score: 668.7411, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9743, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9737, kappa: 0.9417, kb_relative_information_score: 668.7411, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9743, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9749, kappa: 0.9445, kb_relative_information_score: 899.6717, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9749, predictive_accuracy: 0.9749, prior_entropy: 0.9312, recall: 0.9749, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9567, kappa: 0.9037, kb_relative_information_score: 557.3643, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.958, predictive_accuracy: 0.9572, prior_entropy: 0.9312, recall: 0.9572, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9737, kappa: 0.9417, kb_relative_information_score: 668.7411, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9743, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9737, kappa: 0.9417, kb_relative_information_score: 668.7411, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9743, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9737, kappa: 0.9417, kb_relative_information_score: 668.7411, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9743, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9737, kappa: 0.9417, kb_relative_information_score: 668.7411, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9743, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9737, kappa: 0.9417, kb_relative_information_score: 668.7411, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9743, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9737, kappa: 0.9417, kb_relative_information_score: 668.7411, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9743, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8006, kappa: 0.5559, kb_relative_information_score: 441.8535, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7999, predictive_accuracy: 0.8027, prior_entropy: 0.9312, recall: 0.8027, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9687, kappa: 0.9308, kb_relative_information_score: 888.041, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9686, predictive_accuracy: 0.9687, prior_entropy: 0.9312, recall: 0.9687, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9906, kappa: 0.9792, kb_relative_information_score: 936.9977, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.2037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9758, kappa: 0.9463, kb_relative_information_score: 904.7945, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9765, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9361, kappa: 0.8571, kb_relative_information_score: 819.6859, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.94, predictive_accuracy: 0.9374, prior_entropy: 0.9312, recall: 0.9374, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9738, kappa: 0.9418, kb_relative_information_score: 900.194, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9741, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.3395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9802, kappa: 0.9564, kb_relative_information_score: 907.3351, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9803, predictive_accuracy: 0.9802, prior_entropy: 0.9312, recall: 0.9802, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.122, root_relative_squared_error: 0.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.978, kappa: 0.9512, kb_relative_information_score: 899.7902, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9782, predictive_accuracy: 0.9781, prior_entropy: 0.9312, recall: 0.9781, relative_absolute_error: 0.0606, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.138, root_relative_squared_error: 0.2901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9801, kappa: 0.9558, kb_relative_information_score: 893.6707, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9804, predictive_accuracy: 0.9802, prior_entropy: 0.9312, recall: 0.9802, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 955.3995, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9312, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9498, kappa: 0.8889, kb_relative_information_score: 847.2887, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9498, predictive_accuracy: 0.9499, prior_entropy: 0.9312, recall: 0.9499, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9969, kappa: 0.9931, kb_relative_information_score: 950.7991, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9312, recall: 0.9969, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9853, kappa: 0.9675, kb_relative_information_score: 925.4965, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9856, predictive_accuracy: 0.9854, prior_entropy: 0.9312, recall: 0.9854, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.9097, kappa: 0.7969, kb_relative_information_score: 764.4804, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9175, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.6223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 943.8984, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.6846, kappa: 0.2881, kb_relative_information_score: 292.933, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6845, predictive_accuracy: 0.6983, prior_entropy: 0.9312, recall: 0.6983, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5492, root_relative_squared_error: 1.1542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9864, kappa: 0.9698, kb_relative_information_score: 927.7968, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9865, predictive_accuracy: 0.9864, prior_entropy: 0.9312, recall: 0.9864, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.2448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9737, kappa: 0.9416, kb_relative_information_score: 900.194, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9744, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.3395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 934.6975, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9234, kappa: 0.8302, kb_relative_information_score: 789.7829, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9234, predictive_accuracy: 0.9238, prior_entropy: 0.9312, recall: 0.9238, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9477, kappa: 0.8841, kb_relative_information_score: 842.6882, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9476, predictive_accuracy: 0.9478, prior_entropy: 0.9312, recall: 0.9478, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.9142, kappa: 0.8099, kb_relative_information_score: 769.0808, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.914, predictive_accuracy: 0.9144, prior_entropy: 0.9312, recall: 0.9144, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.6148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9749, kappa: 0.9445, kb_relative_information_score: 899.6717, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9749, predictive_accuracy: 0.9749, prior_entropy: 0.9312, recall: 0.9749, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 934.6975, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9477, kappa: 0.8841, kb_relative_information_score: 842.6882, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9476, predictive_accuracy: 0.9478, prior_entropy: 0.9312, recall: 0.9478, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9864, kappa: 0.9698, kb_relative_information_score: 927.7968, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9865, predictive_accuracy: 0.9864, prior_entropy: 0.9312, recall: 0.9864, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.2448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9737, kappa: 0.9416, kb_relative_information_score: 900.194, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9744, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.3395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 934.6975, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9234, kappa: 0.8302, kb_relative_information_score: 789.7829, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9234, predictive_accuracy: 0.9238, prior_entropy: 0.9312, recall: 0.9238, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9477, kappa: 0.8841, kb_relative_information_score: 842.6882, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9476, predictive_accuracy: 0.9478, prior_entropy: 0.9312, recall: 0.9478, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.9142, kappa: 0.8099, kb_relative_information_score: 769.0808, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.914, predictive_accuracy: 0.9144, prior_entropy: 0.9312, recall: 0.9144, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.6148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6846, kappa: 0.2881, kb_relative_information_score: 182.0029, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6845, predictive_accuracy: 0.6983, prior_entropy: 0.9312, recall: 0.6983, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6846, kappa: 0.2881, kb_relative_information_score: 182.0029, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6845, predictive_accuracy: 0.6983, prior_entropy: 0.9312, recall: 0.6983, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7527, kappa: 0.4636, kb_relative_information_score: 318.589, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7591, predictive_accuracy: 0.7495, prior_entropy: 0.9312, recall: 0.7495, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.7429, kappa: 0.4233, kb_relative_information_score: 278.2517, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8152, predictive_accuracy: 0.7756, prior_entropy: 0.9312, recall: 0.7756, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9455, kappa: 0.8793, kb_relative_information_score: 808.1468, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9455, predictive_accuracy: 0.9457, prior_entropy: 0.9312, recall: 0.9457, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9135, kappa: 0.8091, kb_relative_information_score: 720.6119, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9136, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.7045, kappa: 0.3367, kb_relative_information_score: 151.1903, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7026, predictive_accuracy: 0.7119, prior_entropy: 0.9312, recall: 0.7119, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9264,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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Download this task directly in your environment and automatically upload your results

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs